Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
Abstract—In this paper we introduce Timed Moore Automata, a specification formalism which is used in industrial train control applications for specifying the real-time behavior ...
The Multiscale Hemodynamics Project is a collaboration of doctors, physicists, and computational scientists working together to model human blood flow through the coronary arterie...
Michelle Borkin, Simone Melchionna, Charles Feld...
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...